Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Vincenzo Valentini"'
Autor:
Gabriella Macchia, M. Boccardi, C. Romano, Alessio G. Morganti, Savino Cilla, Vittoria E. Morabito, Lidia Strigari, Milly Buwenge, Livia P. De Vivo, Vincenzo Valentini, Luca Indovina, Francesco Deodato
Publikováno v:
Strahlentherapie und Onkologie. 198:254-267
Purpose: To develop anautomated treatment planning approach for whole breast irradiation with simultaneous integrated boost using an automated hybrid VMAT class solution (HVMAT). Materials and methods: Twenty-five consecutive patients with left breas
Autor:
Fabio Marazzi, Vincenzo Valentini, Davide Cusumano, Andrea D'Aviero, Antonio Piras, M. Massaccesi, Alberto Mazzini, Gian Carlo Mattiucci, A. Daidone, Luca Boldrini, Sebastiano Menna
Publikováno v:
Journal of Medical Radiation Sciences. 69:227-235
INTRODUCTION Adjuvant radiation therapy (RT) following primary surgery in women affected by early breast cancer (EBC) plays a central role in reducing local recurrences and overall mortality. The FAST-FORWARD trial recently demonstrated that 1-week h
Autor:
Savino Cilla, Pietro Viola, Carmela Romano, Maurizio Craus, Milly Buwenge, Gabriella Macchia, Vincenzo Valentini, Francesco Deodato, Alessio G. Morganti
Publikováno v:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 103
We presented different machine learning models based on log files analysis and complexity indexes to predict and classify the dosimetric accuracy of VMAT plans.A total of 1302 VMAT arcs from 651 treatment plans were analyzed using the modulation comp
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases
Autor:
Jacopo Lenkowicz, Claudio Votta, Matteo Nardini, Flaviovincenzo Quaranta, Francesco Catucci, Luca Boldrini, Marica Vagni, Sebastiano Menna, Lorenzo Placidi, Angela Romano, Giuditta Chiloiro, Maria Antonietta Gambacorta, Gian Carlo Mattiucci, Luca Indovina, Vincenzo Valentini, Davide Cusumano
Publikováno v:
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 176
This study aims to apply a conditional Generative Adversarial Network (cGAN) to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance (MR) images of the thorax.Sixty patients treated for lung lesions were enrolled and divide
Autor:
Pietro Viola, Carmela Romano, Maurizio Craus, Gabriella Macchia, Milly Buwenge, Luca Indovina, Vincenzo Valentini, Alessio G Morganti, Francesco Deodato, Savino Cilla
Publikováno v:
Biomedical physicsengineering express. 8(5)
The purpose of this study was to develop a predictive model based on plan complexity metrics and linac log-files analysis to classify the dosimetric accuracy of VMAT plans. A total of 612 VMAT plans, corresponding to 1224 arcs, were analyzed. All VMA
Autor:
Gabriella Macchia, Giovanni Scambia, Francesco Deodato, Roberta Lazzari, Barbara Alicja Jereczek-Fossa, Cynthia Aristei, Gabriella Ferrandina, Edy Ippolito, Vincenzo Valentini, Maria Antonietta Gambacorta, Annamaria Cerrotta
BackgroundStereotactic body radiotherapy (SBRT) has shown promising results in the clinical setting of oligometastatic, persistent, or recurrent disease in several malignancies including ovarian cancer.Primary ObjectiveThe MITO-RT3/RAD trial is a pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b4e85257683834c71da68201f7fc4c9
http://hdl.handle.net/11391/1526953
http://hdl.handle.net/11391/1526953
Autor:
Berend J. Slotman, Mary Ann Clark, Enis Özyar, Myungsoo Kim, Jun Itami, Agnès Tallet, Jürgen Debus, Raphael Pfeffer, PierCarlo Gentile, Yukihiro Hama, Nicolaus Andratschke, Olivier Riou, Philip Camilleri, Claus Belka, Magali Quivrin, BoKyong Kim, Anders Pedersen, Mette van Overeem Felter, Young Il Kim, Jin Ho Kim, Martin Fuss, Vincenzo Valentini
Publikováno v:
RADIATION ONCOLOGY
RADIATION ONCOLOGY, 2022, 17 (1), ⟨10.1186/s13014-022-02114-2⟩
RADIATION ONCOLOGY, 2022, 17 (1), ⟨10.1186/s13014-022-02114-2⟩
Background Magnetic resonance-guided radiotherapy (MRgRT) utilization is rapidly expanding, driven by advanced capabilities including better soft tissue imaging, continuous intrafraction target visualization, automatic triggered beam delivery, and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::685b30793bf76c8768007f41834da479
https://hal-amu.archives-ouvertes.fr/hal-04084982
https://hal-amu.archives-ouvertes.fr/hal-04084982
Autor:
Mariangela Massaccesi, Nicola Dinapoli, Valentina Fuga, Cosimo Rupe, Marco Panfili, Rosalinda Calandrelli, Stefano Settimi, Michela Olivieri, Francesco Beghella Bartoli, Ciro Mazzarella, Silvia Longo, Carlo Lajolo, Luca Boldrini, Maria Antonietta Gambacorta, Vincenzo Valentini, Francesco Miccichè
Publikováno v:
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 173
The aim of this study is to develop a prediction model for trismus (maximal interincisal distance equal to or less than 35 mm) based on a multivariable analysis of dosimetric and clinical factors.The maximum inter-incisal opening (MIO) of hean and ne
Autor:
Vincenzo Valentini, Gabriella Macchia, M. Ntreta, Milly Buwenge, Silvia Bisello, Anna Rita Alitto, Alessio G. Morganti, Francesco Deodato, Savino Cilla, Naama Dominsky, Giambattista Siepe
Publikováno v:
Anticancer Research. 40:4413-4418
Background/aim To compare the predictive efficacy of National Comprehensive Cancer Network (NCCN) and European Association of Urology (EAU) risk stratification systems in radiotherapy of prostate cancer. Patients and methods One-thousand-nine-hundred
Autor:
Alessia Re, Anna Ianiro, Alessio G. Morganti, Gabriella Macchia, Milly Buwenge, Milena Ferro, Francesco Deodato, Vincenzo Valentini, Savino Cilla, Giuseppina Sallustio
Publikováno v:
Clinical & Experimental Metastasis. 37:519-529
Stereotactic body radiotherapy (SBRT) has been shown to achieve high local control rates in limited metastatic burden of disease. Few papers reported on the efficacy of SBRT in nodal oligometastases. The primary aim of the present paper was to analyz